CPC Class H04W

Systems and techniques are described for validating object detection. For example, an apparatus can obtain sensor data corresponding to a field-of-view of a vehicle. The apparatus can receive a message from a wireless device. The message includes an indication of at least one object in the field-of-view of the vehicle and a reported location of the at least one object. The apparatus can further determine, based on the sensor data and the message from the wireless device, whether the wireless device has misreported the at least one object.

A wireless communications system is provided that runs on a mobile device and includes a computer system run on at least one platform on which a plurality of different lottery transactions for different jurisdictions are supported and run from the at least one platform. A decentralized and distributed digital ledger is used to record transactions for the lottery transactions, where each of a lottery transaction can include a lottery element. At least one computer readable storage medium stores computer executable instructions that, when executed by the at least one network processor in the workflow server residing in the mobile communications network, implement components including: a workflow module comprising sets of workflow instructions for processing different types of lottery game packets from a plurality of different jurisdictions; and a deep packet inspection module for inspecting a received lottery game packet and providing information about the lottery game packet to the workflow module.

Disclosed embodiments may include a system that may receive first level authentication data from a first user, identify a first user device associated with the first user, and determine whether a current location of the first user device is within a predetermined proximity of a first computing device. In response to the determination, the system may detect one or more objects within the predetermined proximity of the first computing device using the one or more positional sensors. The system may determine that at least one of the one or more objects is associated with a human, and in response, trigger a security measure. The system may transmit an indication of the triggered security measure to the first computing device, and may transmit instructions to the first user device configured to cause the first user device to provide an alert to the first user.

Disclosed herein is a method for facilitating supervision of individuals based on geofencing. Accordingly, the method may include receiving, using a communication device, a parameter from a supervisor device associated with a supervisor and a geographical location from the supervisor device. Further, the method may include analyzing, using a processing device, the geographical location based on a security parameter and generating a geofence corresponding to a geographical area based on the analyzing. Further, the method may include receiving, using the communication device, supervisee data associated with a supervisee from a supervisee device, including supervisee emergency input or nearby audio and video sensor data. Further, the method may include analyzing, using the processing device, the supervisee data based on the geofence and generating a supervision notification based on the analyzing of the supervisee data. Further, the method may include transmitting, using the communication device, the supervision notification to the supervisor device.

A computer-implemented method for assisted parking, an electronic device, and a storage medium are provided. The method for assisted parking includes: obtaining a set of images around a vehicle; determining environment information for the vehicle based on the set of images; obtaining location information associated with a target parking location according to the environment information; and sending the location information to provide such to a user terminal.

A vehicle abnormality monitoring method includes starting, by a vehicle, a monitoring device to record a first video when detecting an abnormal event; determining a roadside device in an area where the vehicle is located; and sending, to the roadside device, a monitoring request requesting the roadside device to record a second video of the abnormal event, where the first video and the second video are configured to trace the abnormal event.